ESRI (UK) Case Study

Buried deep in the ESRI (UK) website is a case study I helped put together showcasing some of the ways we use GIS (specifically ESRI products) within UCL Department of Geography and Centre for Advanced Spatial Analysis. ESRI (UK) co-sponsor my PhD research and I have had a very positive and productive relationship with the company. I …

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Mapping London’s Population Change 1801-2030

Buried in the London Datastore are the population estimates for each of the London Boroughs between 2001 – 2030. They predict a declining population for most boroughs with the exception of a few to the east. I was surprised by this general decline and also the numbers involved- I expected larger changes from one year to …

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Using R to Map with Google Chart Tools

The release of the R package “googleVis” has made the production of interactive maps through Google’s Chart Tools a simple task. Ignoring the some basic data manipulation the below map was produced with these two lines of code: library(googleVis) Geo=gvisGeoMap(Map, locationvar=”Country”, numvar=”Percentage”, options=list(height=350, dataMode=’regions’)) plot(Geo) This map, although simple to produce, is nontrivial as it …

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Brilliant Boris Bikes Animation

Some of us at CASA can’t get enough of the Barclay’s Cycle Hire data. We have had Ollie‘s hugely successful flow maps, journey time heat maps, and now the the Sociable Physicist himself, Martin Austwick has created this stunning animation of the bikes. The TFL data release contained the start point, end point, and duration for around …

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Carto-Junk?

The National Geographic Surname Map has generated a lot of discussion both online and via email. The response has been overwhelmingly positive but some people, unsurprisingly, have suggested improvements. A recent post on the great Junk Charts blog acts as a good summary of the comments I have received. For the purpose of this post I have …

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Opendata+R+Google = Easy Maps

The release of the R package “googleVis” has made the production of interactive maps through Google’s Chart Tools a simple task. Ignoring the some basic data manipulation the below map was produced with these two lines of code: library(googleVis) Geo=gvisGeoMap(Map, locationvar=”Country”, numvar=”Percentage”, options=list(height=350, dataMode=’regions’)) plot(Geo) This map, although simple to produce, is nontrivial as it […]

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